CLONING DETECTION ON THE BASE OF TEXTUAL SIMILARITY USING NEURAL AS A CLASSIFIER

Authors

  • Kulbir Kaur RIMT, Mandi Gobingarh, Punjab
  • Rasbir Singh RIMT, Mandi Gobingarh, Punjab

DOI:

https://doi.org/10.24297/ijct.v13i3.2758

Keywords:

Code and data clone, Methods of detection, Copy paste forgery.

Abstract

Cloning refer to copying the data from one place and using it on another place. This particular work has made the task of the developers easy as it is often that the developers copy the content of one work and paste it into another but this particular procedure violets the rule of copyrights. Copying data is feasible upto one extent but copying entire data set or data or code from one place to another is a serious issue .This paper focuses on the introduction of the code cloning and data cloning and the ways to prevent the cloning.

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Author Biographies

Kulbir Kaur, RIMT, Mandi Gobingarh, Punjab

M-TECH Scholar

Rasbir Singh, RIMT, Mandi Gobingarh, Punjab

Asst. Prof.

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Published

2014-03-30

How to Cite

Kaur, K., & Singh, R. (2014). CLONING DETECTION ON THE BASE OF TEXTUAL SIMILARITY USING NEURAL AS A CLASSIFIER. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 13(3), 4276–4280. https://doi.org/10.24297/ijct.v13i3.2758

Issue

Section

Research Articles